Agentic Security
Agentic security is the emerging discipline of securing AI systems that act autonomously on behalf of users. It encompasses the tools, practices, and architectures required to protect organizations from the risks introduced when AI agents access company systems, make decisions, and take actions without continuous human oversight.
Why It Matters
The term captures a broader scope than any single product category. It includes agent access control (what agents are allowed to do), agent identity (how agents are authenticated and tracked), runtime safety (preventing prompt injection and context manipulation), and behavioral monitoring (detecting when an agent drifts from its intended task).
No single product covers all four domains. MCP gateways address access control and identity. Runtime safety tools address prompt injection and guardrails. Behavioral monitoring is largely still research. The term names the problem space that security teams are trying to solve, even as the product categories within it are still forming.
For security leaders, agentic security is the frame for a set of questions: Where are our agents? What can they access? Who authorized them? What happens when they go wrong?